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densityarea: Polygons of Bivariate Density Distributions

With bivariate data, it is possible to calculate 2-dimensional kernel density estimates that return polygons at given levels of probability. 'densityarea' returns these polygons for analysis, including for calculating their area.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: cli, dplyr, ggdensity, isoband, purrr, rlang, sf, sfheaders, tibble, vctrs
Suggests: forcats, ggplot2, knitr, ragg, readr, rmarkdown, stringr, testthat (≥ 3.0.0), tidyr
Published: 2023-10-02
Author: Josef Fruehwald [aut, cre, cph]
Maintainer: Josef Fruehwald <jofrhwld at gmail.com>
BugReports: https://github.com/JoFrhwld/densityarea/issues
License: GPL (≥ 3)
URL: https://github.com/JoFrhwld/densityarea, https://jofrhwld.github.io/densityarea/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: densityarea results

Documentation:

Reference manual: densityarea.pdf
Vignettes: Using '{densityarea}'
Using '{sf}' operations

Downloads:

Package source: densityarea_0.1.0.tar.gz
Windows binaries: r-devel: densityarea_0.1.0.zip, r-release: densityarea_0.1.0.zip, r-oldrel: densityarea_0.1.0.zip
macOS binaries: r-release (arm64): densityarea_0.1.0.tgz, r-oldrel (arm64): densityarea_0.1.0.tgz, r-release (x86_64): densityarea_0.1.0.tgz, r-oldrel (x86_64): densityarea_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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